This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points.

Topics Covered
What are intensive longitudinal methods , Advantages of ILM , Challenges of ILM , Designing intensive longitudinal studies , Designing intensive longitudinal surveys , Sample size planning and power analysis , Other practical issues , Data structure , Key steps in data pre-processing , Reliability of intensive longitudinal scales , ILM descriptive statistics and correlations , Introduction to Mplus , Multilevel regression , Fixed vs. random effects , Time-varying and time-invariant predictors , Cross-level interactions , Categorical data , Manifest variable models , Multivariate and path analysis models , Latent variable models , Multilevel factor analysis , Measurement and structural models , Location-scale models , Autoregressive models (univariate) , Vector autoregressive / cross-lagged models (multivariate) , Dynamic models with indirect effects , Dynamic models with interactions